Data Science Resources

Math Foundation & Prerequisite

• Linear Algebra Review and Reference by Prof. Zico Kolter [pdf]
• Lecture Notes on Probability, Statistics and Linear Algebra by Prof. C.H. Taubes, available on Prof. Knill’s course website [pdf] (undergraduate level)
• Gilbert Strang’s Linear Algebra course & video lectures [online course] (undergraduate level course)
• Data Mining and Analysis: Foundations and Algorithms, Chapter 1 [sample chapter available online]
• Introductory linear algebra with R [pdf]

Data Science with R

• R for Data Science, by Garrett Grolemund, Hadley Wickham
• R Programming for Data Science, by Roger D. Peng
• Exploratory Data Analysis with R, by Roger D. Peng

Relevant courses & materials

• Machine learning by Prof. Andrew Ng at Coursera [online course]
• Machine Learning by Prof. Milos Hauskrecht @ PITT CS Dept.
• Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan [book pdf]

Recommended Readings

A list of research articles relevant to the Data Mining course topics can be found here.

Back to top